Simple Regression
Chapter 3, Numerical Descriptive Measures Data analysis is objective –Should report the summary measures that best meet the assumptions about the data.
Hsu, L., & Jang, S. (2009), Effects of Restaurant Franchising: Does an optimal franchise proportion exist?
Scatter plots
Research Paper Zaahl 2014 corrections
13-1 Prediction, Correlation, and Lack of Fit in Regression (§11.4, 11.5, 11.7) Outline Confidence interval and prediction interval. Regression Assumptions.
FUNDAMENTAL RESEARCH ISSUES © 2012 The McGraw-Hill Companies, Inc.
Chapter 10 DESCRIBING RELATIONSHIPS USING CORRELATION AND REGRESSION.
1 Lecture 10: Correlation and Regression Model. 2 The Covariance The covariance measures the strength of the linear relationship between two numerical.
Linear correlation and linear regression + summary of tests Dr. Omar Al Jadaan Assistant Professor – Computer Science & Mathematics.
The Big Picture Where we are coming from and where we are headed… Chapter 5 showed us methods for summarizing data using descriptive statistics, but only.
Linear correlation and linear regression. Continuous outcome (means) Outcome Variable Are the observations independent or correlated? Alternatives if.
